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We are seeking an Experienced Software Engineer to join our Algorithmic Execution Services team, focusing on the design, development and maintenance of high-performance trading systems and their underlying algorithms. The Algorithmic Execution Services team builds Clear Street’s electronic trading platform, supporting best execution across asset classes and regions. We develop low-latency order routing, algorithmic strategies, smart order logic, and direct market access. Our focus is performance, scalability, and cost-efficiency—enabling faster execution, smarter routing, and real-time risk controls. Working at the intersection of trading and engineering, AES powers Clear Street’s most advanced trading workflows and sophisticated order handling with the flexibility to service both the active trader and institutional workflows.
Job Responsibility:
Enhance and develop: Responsible for improving existing core system components and support tools
Full-stack development: Design, develop, test, and deploy system enhancements
High-performance systems: Build highly available, horizontally scalable, mission-critical applications using modern technology
Problem-solving and collaboration: Hone advanced engineering skills by tackling challenges and working with stakeholders to define and deliver new features
Domain expertise: Develop a deep understanding of the business domain through this work
Requirements:
Ideally 10+ years of experience in developing high-performance algorithmic financial applications
Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Math, or a related STEM field
Adaptability to a fast-paced, dynamic environment with evolving priorities
Ability to effectively communicate technical information
Strong computer programming skills using Java and Python in a Linux environment
Strong understanding of financial markets
Relevant experience using FIX and binary protocols communicating with counterparties
Experience with low latency, multi-threaded programming and distributed application architecture
Strong understanding of computer systems, including operating systems, networks, and performance optimization
Experience with modern software development practices and tools
Strong passion for technology and continuous learning
Experience with relational databases, preferably Oracle and Postgres
Nice to have:
Experience with publish/subscribe multicast protocols
Proficiency in optimizing critical code paths
Experience in unit test development
Familiarity with containerization technologies, such as Docker